SMART VEHICLES CONTROL LABORATORY (SVECLAB)
Exploring the Wonders of Science
Our research aims to understand the concepts and mechanisms of advanced future vehicles. Our main focus is on connected and autonomous vehicles (CAVs) with electrified powertrains. We use advanced research techniques to develop technologies formodel-based optimal design and control of future cars.
DR. ARASH M. DIZQAH
Co-Founder; Lecturer in Automotive Engineering, University of Sussex
Arash has developed an expertise in design-under-uncertainty, energy management strategies and real-time implementation of model-predictive control (MPC) strategies in automotive engineering. He used to work in industry for 10 years as a cyber-systems architect prior to joining University of Sussex, where he led a team of 15 software and hardware developers located in three different companies. The team under his direction developed more than 400k source lines of codes.
DR JOSE M. HERREROS
Co-Founder; Lecturer in Mechanical Engineering, University of Birmingham
His research interests focus on the development of clean and energy-efficient powertrains for vehicular applications and his expertise lies in the integration of modelling and experimental characterisation of pollutant emissions and powertrain systems. He has been involved in several Industry and EPSRC projects.
Intelligence and Connectivity
We are interested in studying the natural systems which shape and guide the processes of the natural world. Our long-term goal is to identify and characterize the scientific mechanisms specific to our principal areas of research. You can read on to find out more about these projects below.
CONJOINT DESIGN OF POWERTRAINS AND ASSOCIATED ENERGY MANAGEMENT STRATEGIES FOR ELECTRIFIED VEHICLES
AUTONOMOUS MAPPING ROVERS
This research introduces and investigates a novel approach to conjointly design electrified powertrains and associated management strategies for improvements in driving range, emission and batteries degradation. The research also aims at systematically study the effectiveness of this novel approach compared to the present sequential design where management strategies are designed for pre-existing powertrains.
In this project a planar rover is equipped with different sensors like Lidar, camera and ultra-sonic range finders, as well as required processors to build a autonomous 2D mapping system. This platform is used to test developed mapping and motion control algorithms to autonomously move around and prepare a 2D map of rooms. The captured map is sent to a visualisation ROS-based server for illustration on a screen.
CONTROL-ORIENTED MODELLING AND SIMULATION OF VEHICLES USING MODELICA
We have been involved in development of a Modelica model for simulation and control of CAVs with hybrid electric powertrain. Several parts of the vehicle including the convetional and electric powertrain, active suspension system, tyres, steering and brake systems have been modelled. Modelica helps to verigy the mathematical models of cyber-physical systems which is very essential to develop model-based control strategies.